MathPredictions

Denmark Superligaen

Lyngby vs AGF Aarhus Prediction

Kickoff (UTC):

Predicted score 1-1
Expected goals1.41 – 1.64
Avg goals3.05
Our pickAway
Lyngby 32% Draw 26% AGF Aarhus 42%

Markets

MarketLineOur pickProbabilityFair oddsOdds
Match result (1X2) Away 42% 2.39 2.05
Double chance Home or away 74% 1.35 1.26
Goals 2.75 Over 53% 1.87 1.93
Both teams to score Yes 62% 1.61 1.57
Asian handicap 0.25 Home 52% 1.93 1.95
Corners 10 Under 51% 1.96 1.83
Correct score 1-1 12% 8.29 7.00

Bookmaker odds

Match result (1X2) Home 3.30  ·  Draw 3.50  ·  Away 2.05
Goals 2.75 Over 1.93  ·  Under 1.88
Asian handicap 0.25 Home 1.95  ·  Away 1.85
Corners 10 Over 1.98  ·  Under 1.83

Latest pre-match prices from the odds feed, refreshed hourly until 30 minutes before kickoff.

Corner forecast

4.9 Lyngby
9.9 Expected corners
5.0 AGF Aarhus
Corner line 10.00
Over 49% Under 51%

Match trends

Lyngby — last 10 matches

DateH/AOpponentScoreCorners
2026-07-26 A L FC Copenhagen 2–3 5–5
2026-07-18 A W Hillerød 1–0 6–1
2026-07-04 H W B93 Copenhagen 6–3 6–3
2026-05-31 A L Esbjerg 1–2 10–6
2026-05-26 H L AC Horsens 0–2 7–5
2026-05-16 A W Kolding IF 3–1 5–5
2026-05-09 A W Hvidovre IF 2–0 6–3
2026-05-03 H L Hillerød 1–2 3–0
2026-04-25 H W Esbjerg 5–0 15–7
2026-04-22 A W Hillerød 3–1 8–7

AGF Aarhus — last 10 matches

DateH/AOpponentScoreCorners
2026-07-30 A W Lech Poznan 3–0 3–9
2026-07-26 H D Brondby 1–1 10–6
2026-07-22 H L Lech Poznan 1–4 4–2
2026-07-15 H W AC Horsens 2–0 1–8
2026-07-05 H W Motherwell 4–0 6–1
2026-06-27 H D Viborg 1–1 13–4
2026-05-18 H W Viborg 6–2 3–2
2026-05-11 A W Brondby 2–0 4–5
2026-05-04 H W Sonderjyske 2–1 9–5
2026-04-27 H D Midtjylland 0–0 6–3

Match questions

Who is predicted to win Lyngby vs AGF Aarhus?
Our model gives Lyngby a 32% chance, the draw 26% and AGF Aarhus 42%. The most likely score is 1-1.
How many corners are expected in Lyngby vs AGF Aarhus?
The corner model projects 9.9 total corners. Over 10.00 corners is rated at 49% probability.
How are these predictions calculated?
Predictions come from a statistical model fitted on multi-season match results: team attack/defense ratings with time decay, blended with current market lines. No human tipsters are involved, and every published prediction is settled and counted in our public accuracy record.